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Titlebook: Computer Vision -- ACCV 2010 Workshops; ACCV 2010 Internatio Reinhard Koch,Fay Huang Conference proceedings 2011 Springer-Verlag GmbH Berli

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Shape Prior Embedded Geodesic Distance Transform for Image Segmentationboundary of the shape priors. As a result, it provides segmentation in line with the real shape of a particular kind of object. Positive results are demonstrated for several images and video sequences.
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Automatically Detecting Protruding Objects When Shooting Environmental PortraitsOI. Experimental evaluations using four test videos with different backgrounds, lighting conditions, and head ornaments show that the average detection rate and false detection rate of the proposed algorithm are 87.40% and 12.11% respectively.
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Ground Truth Evaluation of Stereo Algorithms for Real World Applications. For evaluating as many points as possible in a given disparity map, we use two evaluation approaches: A direct comparison for those pixels with available range data, and a confidence measure for the remaining pixels.
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Stephen G. Tibbetts,Jose Rivera based pose estimation based solely on SURF features. We give a formal definition of our model, show how to build such a model from image data automatically, how to integrate two partial models, and how pose estimation for new images works.
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https://doi.org/10.1007/978-981-15-4584-9chniques without prior knowledge about environment are coming into practical use. By realizing minimum set of our concept, we could found several concrete future works, most of which are computer vision problems.
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https://doi.org/10.1007/978-1-4613-9025-1pondingly, this paper has two contributions: i) a video decomposition method based on greedy over-segmented patches merging; ii) a layer propagation method via iteratively updating color Gaussian Mixture Models(GMM). We test this algorithm on real videos and verify that it outperforms state-of-the-art methods.
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The Development of Defense Mechanisms by fusing stereo with color and contrast to model the segmentation problem as an minimum cut problem of a planar graph and solving it by a specialized algorithm, parametric shortest paths [8] with a dynamic tree structure, in .(.) time. Experimental results demonstrate the high accuracy and efficiency of the algorithm.
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